https://github.com/GPflow/GPflow
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Tip revision: 5c6924058fe8b5fe2cca25aaa8427d12951c89b4 authored by hrs13 on 29 January 2019, 16:10:40 UTC
changed behaviour of multisample kernels. Now cov(SND,SMD) assumes that the samples are paired over S and returns SNM (rather than SNSM), and cov(ND,SMD) is SNM (rather than NSM)
Tip revision: 5c69240
File Mode Size
data
FITCvsVFE.ipynb -rw-r--r-- 166.9 KB
FITCvsVFE.py -rw-r--r-- 7.3 KB
GPLVM.ipynb -rw-r--r-- 37.9 KB
SGPR_notes.ipynb -rw-r--r-- 11.1 KB
Sanity_check.ipynb -rw-r--r-- 146.9 KB
advanced_usage.ipynb -rw-r--r-- 115.7 KB
classification.ipynb -rw-r--r-- 96.3 KB
compare_variational.py -rw-r--r-- 1.3 KB
coreg_demo.ipynb -rw-r--r-- 146.4 KB
example_profiler.py -rw-r--r-- 350 bytes
kernels.ipynb -rw-r--r-- 132.4 KB
mcmc.ipynb -rw-r--r-- 39.9 KB
models.ipynb -rw-r--r-- 79.5 KB
monitor-tensorboard.ipynb -rw-r--r-- 22.2 KB
multiclass.ipynb -rw-r--r-- 508.0 KB
multioutput.ipynb -rw-r--r-- 513.8 KB
natural_gradients.ipynb -rw-r--r-- 19.6 KB
new_multioutput_gp_features.png -rw-r--r-- 24.7 KB
new_multioutput_gp_kernels.png -rw-r--r-- 38.3 KB
ordinal.ipynb -rw-r--r-- 97.6 KB
regression.ipynb -rw-r--r-- 335.7 KB
regression.py -rw-r--r-- 4.1 KB
settings.ipynb -rw-r--r-- 7.8 KB
simple_regression.py -rw-r--r-- 1.7 KB
svi_test.ipynb -rw-r--r-- 208.3 KB
upper_bound.ipynb -rw-r--r-- 74.8 KB
vgp_notes.ipynb -rw-r--r-- 8.3 KB

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